If we assume an increasing tendency of the number of infected and thus dead, it’s not cherry picking. Unless the curve flattens, it would still increase. I wouldn’t call it cherry picking (coming from data). Your death rate from month ago tells you nothing about the current situation

The basic setup we used at the start was a requirements.txt file, we graduated to using poetry. Poetry allows you to control issues around two packages having different versions of the same package as a dependency. An example would be the installing of a new package breaking another via such a dependency.

Even if you don't know the real number of infected, you should get a good idea based on people either on JIS in the hospital or the deaths. If we would have 10 times higher numbers of infected as opposed to the reported cases, we would have way more.

It does, I am saying that I don't care about a particular certificate/degree (most companies don't unless you do some cutting edge research and even then it's not about smaller degrees), so OP shouldn't get it just for a degree. If the degree allows them to gain the right skillset than that sounds reasonable. OP was asking specifically about the weight of the program.

good coding (or close), I know this is not intuitive, but a lot of organizations suck at managing resources between DS and the rest (such as engineering), so you don't want to always rely on outside resources. Might just be backend. In bigger organizations, this might not be of such importance

General knowledge of ML, doesn't need to be production experience as long as you know how to approach it in a common-sense manner.

I was leveling up a combination of programming and economics when I decided to sub into statistics and did the Ph.D. level quests for it. Turns out this data scientist hybrid class was heavily buffed in the last few patches with inflated bonuses to gold drops. While leveling up, I decided to subclass once again into the manager class. It's doing well so far, hoping there won't be a serious nerf in the future, especially given the current plague on the server, which might bring more focus onto healers and crafters.

The complexity of a model shouldn't matter, if you're building a data product, most work goes towards taking the output of a model and translating it into something a business user can use to inform their decisions.

There is a specific dataset out there already - or you can use the TMDB API to collect your own data (doing API calls).

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Depending on how much time you have, I suggest you be more ambitious and go for predicting the review based on other variables using a supervised learning approach (anything from regression to a random forest).

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In my company we've at some point built a box office prediction model that went through multiple phases, first using IMDB data, then social network data and we've even added survey data (it was a Bayesian model that got updated in each phase) to predict the success of a movie.